In Figure (REF ), the correlations for a set of inferred observable fluxes (exchanges and internals) with respect to the experimentally reported are shown.
The first row of the figure shows the data for the exchange fluxes (absolute values) reported in all the used data sets.
There, similar results were obtained from all the used inference techniques.
The main difference appears in the value of the acetate (gray markers) production rate.
For all the studied cultures, the dilution rate was smaller than \(0.5\)  \(h^{-1}\)  (below the acetate switch [1]}) and therefore, experiments do not report acetate production.
However, the \(FBA\)  model that maximizes \(\bar{u_g}\)  (second column) a \(ME\)  (last column) inferred non-zero acetate production rates for all data sets, although the \(ME\)  ill-prediction is less pronounced.
Additionally, all methods show poor correlations of the produced CO2 (blue square markers).
A sustained overproduction of CO2 is predicted consistently by the network.
All gases exchange data come from one data set where culture's experimental carbon recovery was satisfactory (\(> 93\%\) ), and no carbon rich byproduct, other than CO2 and biomass itself, was produced [2]}.
This suggests that such overproduction of carbon-rich byproducts can be related with an underestimation of the carbon requirements in the biomass equation, which can also affect the acetate ill-prediction mentioned before.
